Xingjian Shi
Xingjian Shi
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Cited by
Cited by
Convolutional LSTM network: A machine learning approach for precipitation nowcasting
X Shi, Z Chen, H Wang, DY Yeung, WK Wong, W Woo
Advances in neural information processing systems 28, 2015
Deep learning for precipitation nowcasting: A benchmark and a new model
X Shi, Z Gao, L Lausen, H Wang, DY Yeung, W Wong, W Woo
Advances in neural information processing systems 30, 2017
Gaan: Gated attention networks for learning on large and spatiotemporal graphs
J Zhang, X Shi, J Xie, H Ma, I King, DY Yeung
arXiv preprint arXiv:1803.07294, 2018
Dynamic key-value memory networks for knowledge tracing
J Zhang, X Shi, I King, DY Yeung
Proceedings of the 26th international conference on World Wide Web, 765-774, 2017
Spatiotemporal modeling for crowd counting in videos
F Xiong, X Shi, DY Yeung
Proceedings of the IEEE international conference on computer vision, 5151-5159, 2017
Gluoncv and gluonnlp: Deep learning in computer vision and natural language processing
J Guo, H He, T He, L Lausen, M Li, H Lin, X Shi, C Wang, J Xie, S Zha, ...
The Journal of Machine Learning Research 21 (1), 845-851, 2020
Relational stacked denoising autoencoder for tag recommendation
H Wang, X Shi, DY Yeung
Proceedings of the AAAI conference on artificial intelligence 29 (1), 2015
Star-gcn: Stacked and reconstructed graph convolutional networks for recommender systems
J Zhang, X Shi, S Zhao, I King
arXiv preprint arXiv:1905.13129, 2019
Collaborative recurrent autoencoder: Recommend while learning to fill in the blanks
H Wang, X Shi, DY Yeung
Advances in Neural Information Processing Systems 29, 2016
Machine learning for spatiotemporal sequence forecasting: A survey
X Shi, DY Yeung
arXiv preprint arXiv:1808.06865, 2018
Relational deep learning: A deep latent variable model for link prediction
H Wang, X Shi, DY Yeung
Thirty-first AAAI conference on artificial intelligence, 2017
Natural-parameter networks: A class of probabilistic neural networks
H Wang, X Shi, DY Yeung
Advances in neural information processing systems 29, 2016
Symbolic music generation with transformer-gans
A Muhamed, L Li, X Shi, S Yaddanapudi, W Chi, D Jackson, R Suresh, ...
Proceedings of the AAAI conference on artificial intelligence 35 (1), 408-417, 2021
Distributed stochastic ADMM for matrix factorization
ZQ Yu, XJ Shi, L Yan, WJ Li
Proceedings of the 23rd ACM International Conference on Conference on …, 2014
Benchmarking multimodal automl for tabular data with text fields
X Shi, J Mueller, N Erickson, M Li, AJ Smola
arXiv preprint arXiv:2111.02705, 2021
Visual speaker identification and authentication by joint spatiotemporal sparse coding and hierarchical pooling
JY Lai, SL Wang, AWC Liew, XJ Shi
Information Sciences 373, 219-232, 2016
A deep-learning method for precipitation nowcasting
W Wong, X Shi, DY Yeung, WC Woo
WMO WWRP 4th International Symposium on Nowcasting and Veryshort-range …, 2016
Deep learning and the weather forecasting problem: Precipitation nowcasting
Z Gao, X Shi, H Wang, DY Yeung, W Woo, WK Wong
Deep Learning for the Earth Sciences: A Comprehensive Approach to Remote …, 2021
Lorien: Efficient deep learning workloads delivery
CH Yu, X Shi, H Shen, Z Chen, M Li, Y Wang
Proceedings of the ACM Symposium on Cloud Computing, 18-32, 2021
Earthformer: Exploring space-time transformers for earth system forecasting
Z Gao, X Shi, H Wang, Y Zhu, Y Wang, M Li, DY Yeung
arXiv preprint arXiv:2207.05833, 2022
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